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Vitruvian plot: a visualisation tool for multiple outcomes in network meta-analysis
OBJECTIVE: A network meta-analysis (NMA) usually assesses multiple outcomes across several treatment comparisons. The Vitruvian plot aims to facilitate communication of multiple outcomes from NMAs to patients and clinicians. METHODS: We developed this tool following the recommendations on the commun...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9811072/ https://www.ncbi.nlm.nih.gov/pubmed/35613849 http://dx.doi.org/10.1136/ebmental-2022-300457 |
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author | Ostinelli, Edoardo Giuseppe Efthimiou, Orestis Naci, Huseyin Furukawa, Toshi A Leucht, Stefan Salanti, Georgia Wainwright, Laurence Zangani, Caroline De Crescenzo, Franco Smith, Katharine Stevens, Katherine Liu, Qiang Cipriani, Andrea |
author_facet | Ostinelli, Edoardo Giuseppe Efthimiou, Orestis Naci, Huseyin Furukawa, Toshi A Leucht, Stefan Salanti, Georgia Wainwright, Laurence Zangani, Caroline De Crescenzo, Franco Smith, Katharine Stevens, Katherine Liu, Qiang Cipriani, Andrea |
author_sort | Ostinelli, Edoardo Giuseppe |
collection | PubMed |
description | OBJECTIVE: A network meta-analysis (NMA) usually assesses multiple outcomes across several treatment comparisons. The Vitruvian plot aims to facilitate communication of multiple outcomes from NMAs to patients and clinicians. METHODS: We developed this tool following the recommendations on the communication of benefit–risk information from the available literature. We collected and implemented feedback from researchers, statisticians, methodologists, clinicians and people with lived experience of physical and mental health issues. RESULTS: We present the Vitruvian plot, which graphically presents absolute estimates and relative performance of competing interventions against a common comparator for several outcomes of interest. We use two alternative colour schemes to highlight either the strength of statistical evidence or the confidence in the evidence. Confidence in the evidence is evaluated across six domains (within-study bias, reporting bias, indirectness, imprecision, heterogeneity and incoherence) using the Confidence in Network Meta-Analysis (CINeMA) system. CONCLUSIONS: The Vitruvian plot allows reporting of multiple outcomes from NMAs, with colourings appropriate to inform credibility of the presented evidence. |
format | Online Article Text |
id | pubmed-9811072 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-98110722023-01-05 Vitruvian plot: a visualisation tool for multiple outcomes in network meta-analysis Ostinelli, Edoardo Giuseppe Efthimiou, Orestis Naci, Huseyin Furukawa, Toshi A Leucht, Stefan Salanti, Georgia Wainwright, Laurence Zangani, Caroline De Crescenzo, Franco Smith, Katharine Stevens, Katherine Liu, Qiang Cipriani, Andrea Evid Based Ment Health Statistics in Practice OBJECTIVE: A network meta-analysis (NMA) usually assesses multiple outcomes across several treatment comparisons. The Vitruvian plot aims to facilitate communication of multiple outcomes from NMAs to patients and clinicians. METHODS: We developed this tool following the recommendations on the communication of benefit–risk information from the available literature. We collected and implemented feedback from researchers, statisticians, methodologists, clinicians and people with lived experience of physical and mental health issues. RESULTS: We present the Vitruvian plot, which graphically presents absolute estimates and relative performance of competing interventions against a common comparator for several outcomes of interest. We use two alternative colour schemes to highlight either the strength of statistical evidence or the confidence in the evidence. Confidence in the evidence is evaluated across six domains (within-study bias, reporting bias, indirectness, imprecision, heterogeneity and incoherence) using the Confidence in Network Meta-Analysis (CINeMA) system. CONCLUSIONS: The Vitruvian plot allows reporting of multiple outcomes from NMAs, with colourings appropriate to inform credibility of the presented evidence. BMJ Publishing Group 2022-12 2022-05-25 /pmc/articles/PMC9811072/ /pubmed/35613849 http://dx.doi.org/10.1136/ebmental-2022-300457 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Statistics in Practice Ostinelli, Edoardo Giuseppe Efthimiou, Orestis Naci, Huseyin Furukawa, Toshi A Leucht, Stefan Salanti, Georgia Wainwright, Laurence Zangani, Caroline De Crescenzo, Franco Smith, Katharine Stevens, Katherine Liu, Qiang Cipriani, Andrea Vitruvian plot: a visualisation tool for multiple outcomes in network meta-analysis |
title | Vitruvian plot: a visualisation tool for multiple outcomes in network meta-analysis |
title_full | Vitruvian plot: a visualisation tool for multiple outcomes in network meta-analysis |
title_fullStr | Vitruvian plot: a visualisation tool for multiple outcomes in network meta-analysis |
title_full_unstemmed | Vitruvian plot: a visualisation tool for multiple outcomes in network meta-analysis |
title_short | Vitruvian plot: a visualisation tool for multiple outcomes in network meta-analysis |
title_sort | vitruvian plot: a visualisation tool for multiple outcomes in network meta-analysis |
topic | Statistics in Practice |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9811072/ https://www.ncbi.nlm.nih.gov/pubmed/35613849 http://dx.doi.org/10.1136/ebmental-2022-300457 |
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